Identifying Positive Deviant Farms Using Pareto-Optimality Ranking Technique to Assess Productivity and Livelihood Benefits in Smallholder Dairy Farming under Contrasting Stressful Environments in Tanzania

D. S. Shija, O. Mwai, P. K. Migwi, D. Komwihangilo, B. Bebe
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引用次数: 3

Abstract

In smallholder dairy-cattle farming, identifying positive deviants that attain outstanding performance can inform targeted improvements in typical, comparable farms under similar environmental stresses. Mostly, positive deviants are identified subjectively, introducing bias and limiting generalisation. The aim of the study was to objectively identify positive deviant farms using the Pareto-optimality ranking technique in a sample of smallholder dairy farms under contrasting stressful environments in Tanzania to test the hypothesis that positive deviant farms that simultaneously outperform typical farms in multiple performance indicators also outperform in yield gap, productivity and livelihood benefits. The selection criteria set five performance indicators: energy balance, disease-incidence density, daily milk yield, age at first calving and calving interval. Findings proved the hypothesis. A few farms (27: 3.4%) emerged as positive deviants, outperforming typical farms in yield gap, productivity and livelihood benefits. The estimated yield gap in typical farms was 76.88% under low-stress environments and 48.04% under high-stress environments. On average, total cash income, gross margins and total benefits in dairy farming were higher in positive deviants than in typical farms in both low- and high-stress environments. These results show that the Pareto-optimality ranking technique applied in a large population objectively identified a few positive deviant farms that attained higher productivity and livelihood benefits in both low- and high-stress environments. However, positive deviants invested more in inputs. With positive deviant farms objectively identified, it is possible to characterise management practices that they deploy differently from typical farms and learn lessons to inform the uptake of best practices and extension messages to be directed to improving dairy management.
利用帕累托最优排序技术识别坦桑尼亚压力环境下小农奶牛场的生产力和生计效益
在小农奶牛养殖中,识别出取得优异表现的积极偏差,可以为在类似环境压力下典型的可比农场提供有针对性的改进信息。大多数情况下,积极偏差是主观识别的,引入偏见和限制概括。本研究的目的是利用帕累托最优排序技术,客观地识别坦桑尼亚在不同压力环境下的小农户奶牛场样本中的积极偏差农场,以检验在多个绩效指标上同时优于典型农场的积极偏差农场在产量差距、生产力和生计效益方面也优于典型农场的假设。选择标准设定了5个性能指标:能量平衡、发病率密度、日产奶量、初产龄和产犊间隔。研究结果证实了这一假设。少数农场(27.4%)出现了正偏差,在产量差距、生产力和生计效益方面优于典型农场。典型农场在低胁迫环境下估计产量差距为76.88%,在高胁迫环境下估计产量差距为48.04%。平均而言,在低压力和高压力环境下,奶牛养殖的总现金收入、毛利率和总收益在正向偏差中高于典型农场。结果表明,应用于大种群的帕累托最优排序技术客观地识别出在低压力和高压力环境下均获得较高生产力和生计效益的少数积极偏差农场。然而,正偏差者投入更多的投入。有了客观确定的积极偏差农场,就有可能描述他们与典型农场不同的管理实践特征,并从中吸取经验教训,为采用最佳实践和推广信息提供指导,以改善乳制品管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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